Learn how to use the Text Analytics API feature of entity recognition to extract DateTime values from technical support tickets and map them to the time when the issue first occurred.
Table of Contents
Question
You need to apply Text Analytics API features to a technical support ticketing system. In order to extract DateTime values from the support ticket that are relevant for mapping when the issue first occurred, which API feature should you use?
A. Entity recognition
B. Sentiment analysis
C. Language detection
D. Key phrase extraction
Answer
A. Entity recognition
Explanation
Entity Recognition is the ability to identify different entities in text and categorize them into pre-defined classes or types.
The correct answer is A. Entity recognition. This is because the Text Analytics API can recognize and categorize named entities in text, such as person names, locations, organizations, quantities, dates, and more. By using entity recognition, you can extract DateTime values from the support ticket and map them to the time when the issue first occurred. For example, if the support ticket contains a sentence like “The system crashed on 2023-04-15 at 10:30 AM”, the Text Analytics API can identify the DateTime value “2023-04-15 at 10:30 AM” and label it as a DateTime entity. This way, you can use the extracted DateTime values to analyze the frequency and duration of the issues reported by the customers.
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